Renewable energy resources optimal dispatching in the context of smart grid towards the future power system

Abstract EN

To optimally manage the operation of a microgrid Laboratory, the scheduling of generation units taking into account all technical constraints is essentially an optimization problem.

In this paper the optimal operation scheduling of small power systems which consists of a wind turbine, a solar unit, a fuel cell and two storage batteries banks is formulated as an optimization problem.

Due to the type of variable involved, this problem is stated a Mixed–Integer Quadratic Programming model (MIQP) containing two types of variables, integer and continuous corresponding to decision that must be taken and power output respectively, while satisfying all technical constraints.

This model is solved by a deterministic optimization technique CPLEX–based implemented in General Algebraic Modeling Systems (GAMS).

This algorithm has been used as Virtual Power Producer (VPP) software.

A VPP can operate the generation units, assuring a global functioning of all equipments efficiently, taking into account the maintenance, operation and the generation measurement and control considering all involved costs.

The VPP software acts similarly to a simple personal computers networks to link together seldom–used equipments standby and all load allowing its optimal control by a mini Supervisory Control and Data Acquisition (SCADA) system and Programmable Logic Controllers (PLC) devices.

The application of this methodology to a real case study of the laboratory equipments, demonstrates the effectiveness of this method to solve the optimal dispatch and online control of the microgrid towards intelligent one that is the Smart–Grid, encouraging the extension of the application of this methodology to a large power system.